Dataset Information

RELB: A novel prognostic marker for glioblastoma as identified by population-based analysis.

ABSTRACT: Glioblastoma multiforme (GBM) is the most common and malignant type of glioma, with a poor prognosis for patients. The survival time of patients varies greatly due to the complexity of the human genome, which harbors diverse oncogenic drivers. In order to identify the specific driving factors, 325 glioma samples from the Chinese Glioma Genome Atlas (CGGA) database were analyzed in the present study. The level of RELB proto-oncogene, NF-?? subunit (RELB) expression increased with the pathological grade progression of the gliomas, and higher expression levels were present in the mesenchymal subtype and isocitrate dehydrogenase 1 (IDH1) wild-type gliomas. This RELB expression pattern was identified in the CGGA database and observed in three large independent databases. In patients with GBM from the CGGA database, a higher RELB expression level was associated with a shorter survival time, a mesenchymal subtype and IDH1 wild-type gliomas. Kaplan-Meier survival analysis, survival nomograms and Cox analysis demonstrated an independent prognostic value for RELB expression. Moreover, biological function analysis indicated the association of RELB with the 'immune response', 'cell activation' and the 'apoptotic process'. In addition, RELB expression levels exhibited a negative correlation with the levels of microRNA (miR)-139-5p and miR-139-3p. The present study identified the pathological and biological roles of RELB in glioma and revealed its independent prognostic effect. These results suggested that RELB may be used as a prognostic biomarker and potential therapeutic target in glioma.

SUBMITTER: Zeng F

PROVIDER: S-EPMC6540354 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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RELB: A novel prognostic marker for glioblastoma as identified by population-based analysis.

Zeng Fan F Wang Kuanyu K Huang Ruoyu R Liu Yanwei Y Zhang Ying Y Hu Huimin H

Oncology letters 20190430 1

Glioblastoma multiforme (GBM) is the most common and malignant type of glioma, with a poor prognosis for patients. The survival time of patients varies greatly due to the complexity of the human genome, which harbors diverse oncogenic drivers. In order to identify the specific driving factors, 325 glioma samples from the Chinese Glioma Genome Atlas (CGGA) database were analyzed in the present study. The level of RELB proto-oncogene, NF-κβ subunit (RELB) expression increased with the pathological ...[more]

PMID: 31289510

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Project description:MicroRNAs (miRNAs or miRs) contribute to the development of various malignant neoplasms, including glioblastoma multiforme (GBM). The present study aimed to explore the pathogenesis of GBM and to identify latent therapeutic agents for patients with GBM, based on an in silico analysis. Gene chips that provide miRNA expression profiling in GBM were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEMs) were also determined via the RobustRankAggreg algorithm. The target genes of DEMs were predicted and then intersected with GBM?associated genes that were collected from the Gene Expression Profiling Interactive Analysis. Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of the overlapping genes were then performed. Simultaneously, a connectivity map (CMap) analysis was performed to screen for potential therapeutic agents for GBM. A total of 10 DEMs (hsa?miR?196a, hsa?miR?10b, hsa?miR?196b, hsa?miR?18b, hsa?miR?542?3p, hsa?miR?129?3p, hsa?miR?1224?5p, hsa?miR?876?3p and hsa?miR?770?5p) were obtained from three GEO gene chips (GSE25631, GSE42657 and GSE61710). Then, 1,720 target genes of the 10 miRNAs and 4,185 differently expressed genes in GBM were collected. By intersecting the aforementioned gene clusters, the present study identified 390 overlapping genes. GO and KEGG analyses of the 390 genes demonstrated that these genes were involved in certain cancer?associated biological functions and pathways. Eight genes [(GTPase NRas (NRAS), calcium/calmodulin?dependent protein kinase type II subunit Gamma (CAMK2G), platelet?derived growth factor receptor alpha (PDGFRA), calmodulin 3 (CALM3), cyclin?dependent kinase 6 (CDK6), calcium/calmodulin?dependent protein kinase type II subunit beta (CAMK2B), retinoblastoma?associated protein (RB1) and protein kinase C beta type (PRKCB)] that were centralized in the glioma pathway were selected for CMap analysis. Three chemicals (W?13, gefitinib and exemestane) were identified as putative therapeutic agents for GBM. In summary, the present study identified three miRNA?based chemicals for use as a therapy for GBM. However, more experimental data are needed to verify the therapeutic properties of these latent drugs in GBM.

Dataset Information

RELB: A novel prognostic marker for glioblastoma as identified by population-based analysis.

Publications

RELB: A novel prognostic marker for glioblastoma as identified by population-based analysis.

Similar Datasets

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